Biography

Dr. Guo Jichang, received his Ph.D. in Signal and Information Processes, from Tianjin University. He is currently a Professor of the School of Electronical and Information Engineering at Tianjin University.

His major academic research includes the enhancement, restoration, and high-level application of low-quality images, and the impact of low-quality image enhancement on high-level visual applications. He published more than 150 refereed journal and conference papers. Dr. Guo has been awarded 12 Chinese patents. He is the header of 2 projects of National 863 Program Projects (The National High Technology Research and Development Program of China), 1 project of 973 Plan Project Subject (The National Basic Research Program), 3 projects of National Natural Science Foundation of China, and more than 20 other projects.

Education

Ph D (Signal and Information Processes), Tianjin University, 2003

MS (Circuit and System), Tianjin University, 1993

BS (Radio Technology), Nanjing University of Science and Technology, 1988

Research Interests

(1) Computer vision, image/video intelligent information processing

(2) The enhancement, restoration, and high-level application of low-quality images, and the impact of low-quality image enhancement on high-level visual applications.

Selected Publications (2018-2022)

[1] Yue, Huihui; Guo, Jichang; Yin, Xiangjun; Zhang, Yi; Zheng, Sida; Zhang, Zenan; Li, Chongyi; Salient object detection in low-light images via functional optimization-inspired feature polishing, Knowledge-Based Systems, 257, December, 2022

[2] Huan Gao; Jichang Guo; Guoli Wang; Qian Zhang; Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation, The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2022), New Orleans, Louisiana, 2022: 9913-9923.

[3] Xiangyuan Gu; Jichang Guo; Tao Ming; Lijun Xiao; Chongyi Li; A Feature Selection Algorithm Based on Equal Interval Division and Conditional Mutual Information, Neural Processing Letters, 2022, 54(3): 2079-2105.  

[4] Yufeng Ai; Jichang Guo; Yudong Wang; ELUNet: An Efficient and Lightweight U-shape Network for Real-time Semantic Segmentation, Journal of Electronic Imaging, 2022, 31(2): 023019.

[5] Xiangyuan Gu; Jichang Guo; Lijun Xiao; Chongyi Li; Conditional mutual information-based feature selection algorithm for maximal relevance minimal redundancy, Applied Intelligence, 2021, 52(2): 1436-1447.

[6] Yudong Wang; Jichang Guo; Huan Gao; Huihui Yue; UIEC^2-Net: CNN-based underwater image enhancement using two color space, Signal Processing: Image Communication, 2021, 96: 116250.

[7] Sida Zheng; Jichang Guo; Huihui Yue; Xiaowen Liu; Cross Domain Edge Detection Based Label Decoupling Salient Object Detection, 2021 IEEE 21st International Conference on Communication Technology (ICCT), Tianjin, China, 2021: 1143-1147.

[8] Huihui Yue; Jichang Guo; Xiangjun Yin; MS-DRDNet: Optimization-Inspired Deep Compressive Sensing Network for MRI, Lecture Notes in Computer Science, 2020, 12307(LNCS): 382-394.  

[9] Qing Qi; Jichang Guo; Chongyi Li; Lijun Xiao; Blind face images deblurring with enhancement, Multimedia Tools and Applications, 2020, 80(2): 2975-2995.

[10] Chongyi Li; Chunle Guo; Jichang Guo; Ping Han; Huazhu Fu; Runmin Cong; PDR-Net: Perception-Inspired Single Image Dehazing Network with Refinement, IEEE Transactions on Multimedia, 2020, 22(3): 704-716.

[11] Qing Qi; Jichang Guo; Weipei Jin; EGAN: Non-uniform Image Deblurring based on Edge Adversarial Mechanism and Partial Weight Sharing Network, Signal Processing: Image Communication, 2020, 88: 115952.

[12]  Chunle Guo; Chongyi Li; Jichang Guo; Chen Change Loy; Junhui Hou; Sam Kwong; Runmin Cong; Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 1780-1789.

[13] Chunle Guo; Chongyi Li; Jichang Guo; Runmin Cong; Huazhu Fu; Ping Han; Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution, IEEE Transactions on Image Processing, 2019, 28(5): 2545-2557.   

[14] Xiangyuan Gu; Jichang Guo; Huiwen Wei; Yanhong He; Spatial-domain Steganalytic Feature Selection based on Three-way Interaction Information and KS Test, Soft Computing, 2019, 24(1): 330-340.   

[15] Xiangyuan Gu; Jichang Guo; A Study on Subtractive Pixel Adjacency Matrix features, Multimedia Tools and Applications, 2019, 78(14): 19681-19695.    

[16] Qing Qi; Jichang Guo; Blind Text Images Deblurring based on a Generative Adversarial Network, IET Image Processing, 2019, 13(14): 2850-2858     

[17] Xiangyuan Gu; Jichang Guo; Lijun Xiao; Tao Ming; Chongyi Li; A Feature Selection Algorithm Based on Equal Interval Division and Minimal-Redundancy–Maximal-Relevance, Neural Processing Letters, 2019, 51(2): 1237-1263.    

[18] Chongyi Li; Jichang Guo; Chunle Guo; Emerging from water: Underwater image color correction based on weakly supervised color transfer, IEEE Signal Processing Letters, 2018, 25(3): 323-327.  

[19] Chongyi Li; Jichang Guo; Fatih Porikli; Yanwei Pang; LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement, Pattern Recognition Letters, 2018, 104: 15-22.   

[20] Yan Zhang; Jichang Guo; Chongyi Li; Image Compressed Sensing based on Non-convex Low-rank Approximation, Multimedia Tools and Applications, 2018, 77(10): 12853-12869.

Selected Awards and Honors

(1) 2019, Annual Outstanding Doctoral Dissertation Supervisor of Tianjin University

(2) 2019, Annual College 5th Teaching Pioneer Post

(3) 2018, Annual Outstanding Doctoral Dissertation Supervisor of Beijing Society of Image and Graphics.

Teaching Experience

(1) Fundamentals of Software Technology

(2) Scientific Computing Language

(3) Introduction to Electronic Information Engineering

(4) Computer Speech Signal Processing